Literature DB >> 27780877

A mathematical model for assessing the effectiveness of protective devices in reducing risk of infection by inhalable droplets.

Matthew R Myers1, Prasanna Hariharan1, Suvajyoti Guha1, Jing Yan1,2.   

Abstract

Respiratory protective devices (RPDs) are critical for reducing the spread of infection via inhalable droplets. In determining the type of RPD to deploy, it is important to know the reduction in the infection rate that the RPD enables for the given pathogen and population. This paper extends a previously developed susceptible-infected-recovered (SIR) epidemic model to analyse the effect of a protection strategy. An approximate solution to the modified SIR equations, which compares well with a full numerical solution to the equations, was used to derive a simple threshold equation for predicting when growth of the infected population will occur for a given protection strategy. The threshold equation is cast in terms of a generalized reproduction number, which contains the characteristics of the RPDs deployed by the susceptible and infected populations, as well as the degree of compliance in wearing the equipment by both populations. An example calculation showed that with 50% of the susceptible population deploying RPDs that transmit 15% of pathogens, and an unprotected infected population, an otherwise growing infection rate can be converted to one that decays. When the infected population deploys RPDs, the transmission rate for the RPDs worn by the susceptible population can be higher.

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Year:  2018        PMID: 27780877     DOI: 10.1093/imammb/dqw018

Source DB:  PubMed          Journal:  Math Med Biol        ISSN: 1477-8599            Impact factor:   1.854


  4 in total

1.  A computational model for predicting changes in infection dynamics due to leakage through N95 respirators.

Authors:  Prasanna Hariharan; Neha Sharma; Suvajyoti Guha; Rupak K Banerjee; Gavin D'Souza; Matthew R Myers
Journal:  Sci Rep       Date:  2021-05-21       Impact factor: 4.996

2.  The hearth of mathematical and statistical modelling during the Coronavirus pandemic.

Authors:  Luca Bertolaccini; Lorenzo Spaggiari
Journal:  Interact Cardiovasc Thorac Surg       Date:  2020-06-01

Review 3.  The perspective of fluid flow behavior of respiratory droplets and aerosols through the facemasks in context of SARS-CoV-2.

Authors:  Sanjay Kumar; Heow Pueh Lee
Journal:  Phys Fluids (1994)       Date:  2020-11-01       Impact factor: 3.521

4.  Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories.

Authors:  Tina M Morrison; Pras Pathmanathan; Mariam Adwan; Edward Margerrison
Journal:  Front Med (Lausanne)       Date:  2018-09-25
  4 in total

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